
Data Engineer
Há 2 dias
Join to apply for the Data Engineer (LATAM) role at Lateral Group
1 week ago Be among the first 25 applicants
Join to apply for the Data Engineer (LATAM) role at Lateral Group
About The Company
Lateral stands for technology excellence.
About The Company
Lateral stands for technology excellence.
We’re a profitable, award-winning design and technology company with over 20 years of experience launching bold ventures and transforming businesses. A globally distributed team of 200+ experts united by a shared purpose: the continuous pursuit of quality.
Our clients come to us for results, quality and craft - and stay because we keep raising the bar.
We do things differently at Lateral
Our mission is simple: design and build great products .
What sets us apart isn’t just the talent of our team - it’s the way we work:
We Have A Bias For Action & Results.
We are doers - we spot the gaps, connect the dots, anticipate what’s around the corner and take action. We move fast, stay focused, and let the results - not the effort - speak for themselves.
We Work On Time, On Budget, On Quality
Discipline is our edge - a commitment we make to each other, to our clients, and to the standards we hold ourselves to.
We Care Deeply.
We care about our work and about each other. Care Is A Competitive Advantage.
Every detail matters. Every design, every line of code, every decision. Thoughtful by default.
We Do Things Right - Because It’s the Right Thing to Do
Right over easy. Integrity isn’t up for negotiation. We hold the bar high even when no one’s watching. We take pride in doing great work the right way - not the easy way.
We Keep Improving
The best teams keep improving and we’re never done learning.
We iterate. We reflect on what’s working and what’s not. Feedback fuels us, we receive it openly, and adapt quickly. Progress over perfection.
We’re Obsessed With Agility, Not The Agile Manifesto
We don’t chase dogma or rituals - we chase momentum. We adapt processes to fit problems, not the other way around.
We Take Ownership
Everyone leads something here. You will have room to run with ideas, and the trust to execute. That trust is built on how you show up: thinking things through, sweating the details, and following through.
What You’ll Do
We are committed to building a scalable, secure, and high-quality data ecosystem that empowers our ML scientists and ensures the integrity of our medical imaging solutions. As a Data Engineer at Lateral, you will play a pivotal role in shaping our AI capabilities through a variety of critical tasks:
- Pipeline Design and Implementation: You will design and implement scalable, secure pipelines for transferring and storing imaging and biomarker data (DICOM to S3, multimodal integration).
- Data Automation and Quality: Your responsibilities will include automating data anonymization, validation, and quality checks to reduce manual intervention.
- System Optimization: You will optimize and scale the data cataloging system (currently using DynamoDB), enabling performant querying and downstream use by ML teams.
- Compliance and Governance: You will support data governance and compliance, including HIPAA/PHI-sensitive workflows across imaging and biomarker modalities.
- Analytics and Tooling: You will enable analytics and insight generation from large datasets — building tooling to allow quick querying, statistics, and cohort slicing (e.g., by site, modality, etc.).
- ML Dataset Preparation: You will prepare and deliver ML-ready datasets, including site-based sourcing and assignment to experimental splits.
- Strategic Collaboration: You will collaborate cross-functionally with ML scientists, product, and data stakeholders to map and evolve the future of Ezra’s innovation data ecosystem.
We’re seeking builders who love taming complexity and making high-quality data available at scale. You’ll thrive in this role if you bring:
- 3+ years building production data pipelines and architectures, ideally in cloud environments like AWS; strong candidates with less experience also considered.
- Strong Python skills, with experience in tools like boto3, pydicom, pandas, and airflow or equivalent workflow orchestrators.
- Familiarity with healthcare data formats (DICOM, HL7) and privacy-sensitive workflows (anonymization, de-identification, auditability).
- Experience with NoSQL or semi-structured databases (e.g. DynamoDB) and their performance tuning.
- Understanding of data validation, observability, and quality assurance best practices.
- Comfort collaborating across engineering, research, and product teams to understand needs and deliver high-quality data products.
- Ability to reason about system scale, performance tradeoffs, and long-term maintainability of complex pipelines.
- Experience supporting ML teams directly with clean, well-versioned training datasets.
- Familiarity with at least one of the major distributed computing frameworks (e.g. PySpark, Ray, Dask)
- Exposure to data governance and compliance frameworks (HIPAA, GDPR, etc.).
- Experience integrating multimodal or time-series data sources.
- Prior work with medical or life sciences datasets.
- Real Impact: You’ll work on meaningful products that make a measurable difference - from healthcare and commerce to sustainability and next-gen tech.
- Remote-First, Office Friendly: Work from wherever you’re most productive - whether that’s your home, a co-working space, or one of our offices. We’re a remote-first company, but if you’re near an office, you’re welcome to drop in, collaborate in person, or work onsite regularly.
- An Outstanding Team: Talented, kind, and hard-working people who care deeply about their craft - and about each other. No egos. No politics. Just professionals doing their best work.
- Growth: You’ll be supported in growing your craft, exploring new paths, and stepping into greater responsibility - at your own pace
- A Culture of Excellence: We care deeply about doing the right thing - for our clients, our team, and ourselves. No burnout. No crunch. Just high-quality work, delivered sustainably.
- Variety & Stability: We’re profitable, independent, and over a decade strong. Yet every project brings a fresh challenge. You’ll never be bored here.
We want to respect your time by being clear about what this role isn’t. You should skip this opportunity if:
- You prefer well defined structure. If you gravitate towards a clear hierarchy, well defined roles and swim lanes, you may find our self-managed style challenging.
- Distributed work isn’t your thing. If you find async communication, design documentation and being proactive without a manager nearby difficult, our setup won’t suit you.
- Feedback doesn't excite you. We’re obsessed with quality and believe in continuous improvement. That means we give feedback that’s sometimes nitpicky. If refining the work until it’s excellent feels over the top, you are likely going to find working here frustrating.
- Change makes you uncomfortable. We’re scaling and maturing. That means not everything is perfect yet. Priorities shift. Processes evolve. If ambiguity is uncomfortable, this may feel bumpy.
How to apply and what to expect in the interview process
Our hiring process is structured as a sequence of steps. Moving forward is based on how well the previous step goes. This helps us stay focused, fair, and respectful of everyone’s time.
We will always:
- Let you know clearly what the next step is
- Share updates and feedback wherever possible
- Invite questions if anything feels unclear
Step 1: Express Your Interest
If this sounds like your kind of team and you’re ready to bring your craft to Lateral, we want to hear from you.
Please send us:
- Your resume
- A short note about what excites you about this role
- Links to your work: GitHub/ Code snippets, portfolio, architecture /design docs, blog posts, or anything that shows us how you think and build
If you’re sharing team projects, let us know what your specific contributions were.
We review every application with care. If there’s a fit, we’ll reach out to schedule next steps.
Step 2: Talent Partner Conversation
Purpose: A structured discussion with our People Experience team to delve into your career trajectory, motivations, and alignment with Lateral's values.
What to Expect:
- In-depth questions about your past experiences and decision-making processes.
- Exploration of your career goals and how they align with the role.
- Discussion about our company culture, availability, compensation and other logistics
- Motivators and demotivators.
- Your life outside coding.
- Reflect on your career journey and pivotal moments.
- Be ready to discuss challenges you've overcome and lessons learned.
- Familiarize yourself with the Job Description, Lateral's mission and values.
Purpose: Assess your technical proficiency and problem-solving abilities.
Format: A collaborative session with our engineering team, focusing on real-world scenarios relevant to the role.
What to Expect:
- Problem-solving exercises/questions that mirror tasks you'd encounter in the position.
- Discussions around your approach, reasoning, and solutions.
- Practice articulating your thought process clearly and concisely.
- Be prepared to discuss in depth past projects and the technologies used.
Purpose: Evaluate how well you collaborate, communicate, and consult with external stakeholders.
Format: A live conversation with one of our client-side collaborators
What to Expect:
- Discussion around business and technical challenges from the client’s perspective.
- Opportunity to explain your approach, gather requirements, ask clarifying questions, and articulate tradeoffs.
- Evaluation of how clearly you communicate solutions to both technical and non-technical stakeholders.
- Once client details are shared, educate yourself with their business and potential challenges
- Review past experiences where you’ve had to communicate complex ideas clearly.
- Reflect on your ability to lead conversations, guide decision-making, and build trust across different audiences.
Purpose: Understand your approach to prioritizing, collaborating, shipping, and iterating.
What to expect:
- How you prioritize and break down work.
- How you collaborate across disciplines.
- How you handle blockers, feedback, and iteration.
- Pick 1-2 meaningful projects you led or heavily contributed to.
- Walk through your process: what worked, what didn’t, what you’d do differently.
- Think about how you manage time, scope, and changing requirements.
Purpose: We believe references are about understanding, not just validation. We do not look for perfection, but to understand patterns, strengths, and context. We use them to learn how to support you best.
What to Expect: we’ll ask you for 2–3 people who’ve worked closely with you. These are often: former managers, senior peers or collaborators, mentors or people you've mentored.
What we ask: We focus on how you’ve grown, where you shine, how you like to be led, and what support sets you up for success. We want practical advice for making this a great fit for you.
Yes, we do backchannels too: We do this when we feel we need more context . We will check with you if there are folks we should avoid reaching out due to confidentiality or other reasons. And here’s our commitment: if anything surprising or unclear comes up in a backchannel, we’ll bring it directly to you. We believe in “no stories without you in the room .” You’ll always get the chance to share your side, context, or clarification.
Step 7: Offer
What Happens: If selected, you'll receive a comprehensive offer detailing compensation, and other pertinent information.
Our hiring process is designed to be thorough yet respectful, ensuring a mutual fit. We encourage candidates to engage actively, ask questions, and view this as a two-way exploration.
Join us and let’s build something extraordinary. Seniority level
- Seniority level Mid-Senior level
- Employment type Full-time
- Job function Information Technology
- Industries IT Services and IT Consulting
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